AI Automation: The Key to Maximizing Enterprise Efficiency

AI automation is rapidly changing the way we work. It has the potential to unlock next-level productivity by automating many monotonous and repetitive tasks. Unlike traditional code-based automation, AI automation is not strictly rule-based. As we have seen with Chatgpt, Claude, and Llama, these models can simulate human reasoning and are also capable of using tools via function calling, making them capable of accomplishing tasks requiring some degree of decision-making.

This opens up new avenues for solving complex problems; AI models can use appropriate tools based on a given scenario to accomplish complex workflows.

This article discusses how AI automation can maximize enterprise productivity and how Composio makes building complex automation from scratch easier.

What are AI Agents?

This is one of the most used terms of the past few months, and there seems to be some ambiguity around it. What precisely an AI agent is?

AI agents are systems powered by AI models or large language models (LLMs) that can autonomously perform tasks, interact with their environment, and make decisions based on their programming and the data they process.

Think of AI agents as LLMs capable of interacting with external applications or systems through tool calls. For example, the ChatGPT app can generate images using DALL·E, execute code with code interpreters, and retrieve information from the internet via a headless browser, all based on user prompts.

AI Automation for Enterprises

AI automation is poised to change the way we work. Much development is happening in this space, and big tech companies are betting billions of dollars on an AI-led future.

Google has also unveiled its plans for an agentic future for its workforce. This is what Google says about AI agents.

“We continue to see customers and partners benefiting from AI agents — intelligent systems that go beyond simple chat and predictions, to proactively take actions. What makes AI agents unique is they help achieve specific goals, whether that’s guiding a shopper to the perfect pair of shoes, helping an employee look for the right health benefits, or supporting nursing staff with smoother patient hand-offs during shift changes. We see AI agents centering around six use cases:”

Let’s explore all these agents and how different organizations build products around them to drive innovation, productivity, and customer satisfaction.

1. Customer Agents

Customer agents can seamlessly integrate into existing customer service workflows to deliver personalized, 24/7 support. This helps free up valuable resources, enabling human customer support teams to focus on more complex and impactful tasks.

Here are a few examples of Fortune 500 companies benefiting from AI customer agents.

Volkswagen US built a customer agent in the MyVW app, where the drivers can ask questions like “How to change engine oil?” and get relevant answers and recommendations.
Snap Inc. has upped their engagement by 2.5x by introducing multi-modal AI into their “My AI” chatbot.
Best Buy resolves issues up to 90 seconds faster using automated call summarization.

2. Employee Agents

Employee agents can automate mundane tasks like data entry, scheduling meetings, managing emails, and generating reports, allowing employees to focus on higher-value work that requires creativity and critical thinking.

SURA investments have implemented a Gen AI-powered analysis model to help employees better understand customers. This model has improved sentiment analysis by more than 90% and delivered a 10-point increase in customer satisfaction.
Elanco has implemented the Gen AI framework using Gemini for critical business processes like Customer orders, Pharmacovigilance, and Clinical Insights. Since launching last year, this has resulted in an estimated ROI of $1.9 million.
Quil AI is building a comprehensive AI solution for hiring managers for automated ATS workflows, AI-generated candidate submittals, and automated note-taking during interviews.

3. Code Agents

Code agents can understand code bases and write and update code based on requirements, which can significantly boost the productivity of software engineering teams.

Devin from the Cognition lab, beta-released in March, solved bugs, built new features, and scored 13% on the SWE bench.
Amazon’s Q-developer scored a whopping 42% on this benchmark.
Replit and Vercel recently launched Replit Agent and Vercel’s v0, which aim to automate code writing and generate dynamic UIs.

4. Data Agents

Data Agents can connect. Internal and external data sources help get answers to critical questions, synthesize research, develop new models, and prepare metrics.

Warner Bros. Discovery reduced cost and time by 50% and 80% by implementing a Gen AI captioning tool for videos.
Bayer’s Crop Science team created a Field answers application using Google’s Gen AI stack. This application enables timely and critical decision-making and promotes more sustainable and efficient farming practices.
IPSOS, a marketing analysis firm, built an AI-driven market research tool for its market researchers.
IntelligenciaAI, a healthcare company, uses an AI-driven drug discovery platform to provide accurate and transparent predictions to its customers while minimizing overhead.

5. Security Agents

Security agents are responsible for monitoring systems for better vigilance and compliance control. They can also help guard data and models against cyberattacks, such as malicious prompt injection.

Apex Fintech has sped up the detection of security threats, cutting down the time from hours to seconds using Google SecOps.
NetRise‘s “Trace” product uses AI from Google Cloud to enable smart searches in the software supply chain, making it easier to find relevant information.
CertifyOS is building a platform for automating handling medical providers’ credentials and licenses, saving time and eliminating the hassle of dealing with scattered information.

6. Creative Agents

Creative agents can empower designers and marketers to iterate, A/B test, and execute ideas quickly. They can also help create videos, graphic designs, landing pages, copywriting, ad campaigns, and more.

PUMA uses Google’s Imagen to customize product catalogues, saving time and ensuring they are locally relevant. Puma India has already seen a 10% growth in click-through rate.
Fibr AI leverages state-of-the-art AI models to create highly customized landing pages. The pages are optimised for customer retention, improving engagement, driving conversions, and delivering a personalized user experience that adapts to individual customer preferences.
Radisson Hotel Group trained AI models on their existing data to personalize ads at scale. This resulted in an overall 50% rise in ad teams’ productivity and revenue from AI-powered campaigns by 20%.
Globo uses Google’s Gen AI services to personalize the streaming experience for its users.

Composio for Enterprise AI Automation

Composio is well-positioned to transform your enterprise workflows for employees and customers. With an ever-expanding catalogue of toolkits and integrations, developers can build comprehensive AI automation for increased productivity.

How can Composio help in AI Automation?

Composio is the leading tooling and integration solution for AI automation. It offers an ever-expanding catalogue of tools and integrations to empower AI agents to undertake complex tasks.

Here is what Composio has to offer.

1. Extensive Collection of Tools and Integrations

Composio provides over 1oo production-ready tools and integrations across industry verticals from CRM, HRM, and Marketing to productivity, development, and administration. You can easily integrate Slack, Linear, Salesforce, Github, and more with AI agents to accomplish complex tasks.

3. Developer Friendly

Composio’s SDK is designed with a swift developer experience in mind. It is easy to use the SDK in both Python and Javascript. You can easily integrate any third-party services within a few lines of code.

2. Security and Reliability

The platform is designed from the ground up, keeping the security and reliability in mind. Composio is SOC2-certified and has a robust infrastructure for handling millions of requests.

3. User Authentication and Authorization

Composio handles user authentication, enabling your agents to seamlessly connect with these tools and perform actions on behalf of your users. It supports a range of authentication protocols, including OAuth1.0/OAuth2.0, API Key, and Basic Authentication.

4. Custom Integration Support

You can add your application using OpenAPI specifications. Composio offers a convenient method to add as many custom apps as you want and connect them with your AI agents.

5. Monitoring

Composio has a dedicated dashboard for monitoring all the integrations, their actions, and triggers. You can also try the actions from integrations from the dashboard.

What’s Next

The era of AI automation has arrived, and we aim to provide businesses with the right tools to thrive in an agent-driven future.

Check out our cookbook for comprehensive AI automation use cases.